rohitg00--ai-engineering-from-scratch
wehub-resource-sync
1.2 KiB
1.2 KiB
Mission - Runtime Feedback Loops
Goal
Build run_with_feedback that wraps subprocess.run, captures stdout, stderr, exit code, and duration, truncates output deterministically, and appends a JSONL record the next turn and the verification gate both read.
Inputs
- Three demo commands to exercise the runner: one success, one failure, one slow
- Token budget: deterministic head plus tail with a
...truncated N lines...marker
Deliverables
run_with_feedback(command, agent_note)writing tofeedback_record.jsonl- A loader that streams the JSONL into a Python list
- A printer that shows the last record per command
Acceptance
python3 code/main.pyexits zerofeedback_record.jsonlaccumulates one record per command across re-runs- A command with
exit_code: nullcannot be marked successful by the loop
Out of scope
- Telemetry pipelines (OTel, Langfuse). Feedback is for the next turn; telemetry is for the operator.
- Redaction passes and rotation policy. Lesson exercise prompts cover those.
References
docs/en.md- full lessoncode/main.py- reference implementationoutputs/skill-feedback-runner.md- extracted skill